Book Image

Learn Programming in Python with Cody Jackson

By : Cody Jackson
Book Image

Learn Programming in Python with Cody Jackson

By: Cody Jackson

Overview of this book

Python is a cross-platform language used by organizations such as Google and NASA. It lets you work quickly and efficiently, allowing you to concentrate on your work rather than the language. Based on his personal experiences when learning to program, Learn Programming in Python with Cody Jackson provides a hands-on introduction to computer programming utilizing one of the most readable programming languages–Python. It aims to educate readers regarding software development as well as help experienced developers become familiar with the Python language, utilizing real-world lessons to help readers understand programming concepts quickly and easily. The book starts with the basics of programming, and describes Python syntax while developing the skills to make complete programs. In the first part of the book, readers will be going through all the concepts with short and easy-to-understand code samples that will prepare them for the comprehensive application built in parts 2 and 3. The second part of the book will explore topics such as application requirements, building the application, testing, and documentation. It is here that you will get a solid understanding of building an end-to-end application in Python. The next part will show you how to complete your applications by converting text-based simulation into an interactive, graphical user interface, using a desktop GUI framework. After reading the book, you will be confident in developing a complete application in Python, from program design to documentation to deployment.
Table of Contents (14 chapters)


Next to lists, dictionaries are one of the most useful data types in Python. Python lists, as previously shown, are ordered collections that use a numerical offset. To select an item in a list, you need to know its position within the list. Python dictionaries are unordered collections of objects, matched to a key name; in other words, you can reference an item simply by knowing its associated key.

Because of their construction, dictionaries can replace many typical search algorithms and data structures found in C and related languages. For those coming from other languages, Python dictionaries are just like a hash table or associative array, where an object is mapped to a key name.

Dictionaries include the following properties:

  • They are accessed by a key, not an offset. Each item in the dictionary has a corresponding key; the key is used to call the item.
  • Stored...